Addressing collaborative planning methods and tools in forest management

Forest Ecology and Management

Volumn 248, Issue 1-2, 2007, Pages 107-118

  Martins, Helena ^a   Borges, José G ^a  

^a Universidade de Lisboa   (Portugal)

Author keywords

Collaborative planning; Forest management; Methods and tools; Multiple decision makers; NIPF

Indexed keywords

COLLABORATIVE PLANNING; FOREST SUSTAINABILITY; INTEGRATED FUNCTIONALITY; MULTIPLE DECISION-MAKERS;

DECISION MAKING; STRATEGIC PLANNING;

FORESTRY;

DECISION MAKING; ENVIRONMENTAL POLICY; FOREST MANAGEMENT; FOREST PRODUCT; MITIGATION; SUSTAINABLE FORESTRY;

DECISION MAKING; FOREST MANAGEMENT;

EURASIA; EUROPE; PORTUGAL; SOUTHERN EUROPE;

EID: 34447502386     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2007.02.039     Document Type: Article

References (76)

1. Alho J.M., Kolhmainen O., and Leskinen P. Regression methods for pairwise comparison data. In: Schmoldt D.L., Kangas J., Mendoza G.A., and Pesonen M. (Eds). The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making (2001), Kluwer Academic Publishers, The Netherlands 235-251
2. Ananda J., and Herath G. Incorporating stakeholder values into regional forest planning: a value function approach. Ecol. Econ. 45 (2003) 75-90
3. Ananda J., and Herath G. Evaluating public risk preferences in forest land-use choices using multi-attribute utility theory. Ecolog. Econ. 55 (2005) 408-419
4. Bantayan N.C., and Bishop I. Linking objective and subjective modelling for landuse decision making. Landscape Urban Plann. 43 (1998) 35-48
5. Belton V., and Stewart T.J. Multiple Criteria Decision Analysis. An Integrated Approach (2002), Kluwer Academic Publishers 372 pp.
6. Borges J.G. Sistemas de apoio à decisão em planeamento em recursos naturais e ambiente. Revista Florestal 9/3 (1996) 37-44 (in Portuguese)
7. Borges J.G., Hoganson H.M., and Falcão A.O. Heuristics in multi-objective forest management. In: Pukkala T. (Ed). Multi-objective Forest Planning 5 (2002), Kluwer Academic Publishers, Managing Forest Ecosystems 119-152
8. Borges J.G., Falcão A.O., Miragaia C., Marques P., and Marques M. A decision support system for forest resources management in Portugal. In: Arthaud G.J., and Barrett T.M. (Eds). System Analysis in Forest Resources 7 (2003), Kluwer Academic Publishers, Managing Forest Ecosystems 155-164
9. Bousquet F., Bakam I., Proton H., and Le Page C. Cormas: common-pool resources and multi-agent systems. Lecture Note in Artificial Intelligence, No 1416 (1998), Springer Verlag, Berlin pp. 826-838
10. Bousquet F., and Le Page C. Multi-agent simulations and ecosystem management: a review. Ecolog. Model. 176 (2004) 313-332
11. Buchy M., and Hoverman S. Understanding public participation in forest planning: a review. Forest Pol. Econ. 1 (2000) 15-25
12. Cai J. A social interaction analysis methodology for improving E-collaboration over the Internet. Electronic Com. Res. Appl. 4 (2005) 85-99
13. Colfer, C.J.P., Brocklesby, M.A., Diaw, C., Etuge, P., Günter, M., Harwell, E., McDougall, C., Porro, N.M., Porro, R., Prabhu, R., Salim, A., Sardjono, M.A., Tchikangwa, B., Tiani, A.M., Wadley, R.L., Woelfel, J., Wollenberg, E., 1999. The BAG (Basis Assessment Guide for Human Well-Being). C&I Toolbox Series N° 5. CIFOR, Bogor, Indonesia.
14. Coughlan, B.A.K., Armour, C.L., 1992. Group decision-making techniques for natural resource management applications. U.S. Department of the Interior Fish and Wildlife Service, Resource Publication 185, Washington, 55 pp.
15. Davis L.S., Johnson K.N., Bettinger P.S., and Howard T.E. Forest Management. To Sustain Ecological, Economic and Social Values (2001), McGraw-Hill, New York 804 pp
16. de Steiguer, J.E., Liberti, L., Schuler, A., Hansen, B., 2003. Multi-criteria decision models for forestry and natural resources management: an annotated bibliography. General Technical Report NE-307. Northeastern Research Station. Forest Service, United States Department of Agriculture.
17. Easley R.F., Valacich J.S., and Venkataramanan M.A. Capturing group preferences in a multi-criteria decision. Eur. J. Operational Res. 125 (2000) 73-83
18. Eden C. Cognitive mapping. Eur. J. Operational Res. 36 (1988) 1-13
19. Falcão A., and Borges J.G. Designing decision support tools for Mediterranean forest ecosystem management: a case study in Portugal. Ann. Forest Sci. 62/7 (2005) 751-760
20. Falcão A.O., Próspero dos Santos M., and Borges J.G. A real-time visualization tool for forest ecosystem management decision support. Computers Electronics Agric. 53 (2006) 3-12
21. Geoffrion A. The purpose of mathematical programming is insight not numbers. Interfaces 7/1 (1976) 81-96
22. Grimble R., and Chan M.K. Stakeholder analysis for natural resource management in developing countries: some practical guidelines for making management more participatory and effective. Nat. Resour. Forum 19 (1995) 113-124
23. Grimble R., and Wellard K. Stakeholder methodologies in natural resource management: a review of principles, contexts, experiences and opportunities. Agric. Syst. 55/2 (1997) 173-193
24. Harrison S.R., and Qureshi M.E. Choice of stakeholder groups and members in multi-criteria decision models. Nat. Resour. Forum 24 (2000) 11-19
25. Herath G. Incorporating community objectives in improved wetland management: the use of the Analytic Hierarchy Process. J. Environ. Manage. 70 (2004) 263-273
26. Hetemäki L., Nyrud A.Q., and Boston K. ICT and the Forest sector: the history and the present. In: Hetemaki L., and Nilsson S. (Eds). Information Technology and the Forest Sector. IUFRO World Series 18 (2005), International Union of Forest Research Organizations, Vienna, Austria 150-171
27. HjortsØ C.N. Enhancing public participation in natural resource management using Soft OR-an application of strategic option development and analysis in tactical forest planning. Eur. J. Operational Res. 152 (2004) 667-683
28. Hwang C.-L., and Lin M.-J. Group Decision Making under Multiple Criteria. Lecture Notes in Economics and Mathematical Systems (1987), SpringerVerlag 281
29. Jaakko Pöyry Consulting Inc. Generic Environmental Impact Statement on Timber Harvesting and Forest Management in Minnesota. (1994), Jaakko Pöyry Consulting Inc., Tarrytown, NY 813 p
30. Jankowski P., and Nyerges T. Using GeoChoicePerspectives in collaborative spatial decision making. In: Schmoldt D.L., Kangas J., Mendoza G.A., and Pesonen M. (Eds). The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making (2001), Kluwer Academic Publishers, The Netherlands 253-268
31. Jumppanen J., Kurttila M., Pukkala T., and Uuttera J. Spatial harvest scheduling approach for areas involving multiple ownership. Forest Pol. Econ. 5 (2003) 27-38
32. Kangas J. Multiple-use planning of forest resources by using the Analytic Hierarchy Process. Scandinavian J. Forest Res. 7 (1992) 259-268
33. Kangas J., and Store R. Internet and teledemocracy in participatory planning of natural resources management. Landscape and Urban Planning 62/2 (2003) 89-101
34. Kangas A., Kangas J., and Pykäläinen J. Outranking methods as tools in strategic natural resources planning. Silva Fennica 35/2 (2001) 215-227
35. Kangas A., Laukkanen S., and Kangas J. Social choice theory and its implications in sustainable forest management-a review. Forest Pol. Econ. 9/1 (2006) 77-92
36. Kangas J., Loikkanen T., Pukkala T., and Pykäläinen J. A participatory approach to tactical forest planning. Acta Forestalia Fennica 251 (1996) 25
37. Kurttila M., and Pukkala T. Combining holding-level economic goals with spatial landscape-level goals in the planning of multiple ownership forestry. Landscape Ecol. 18/5 (2003) 529-541
38. Kyem P.K. Using GIS to support multi-objective decision making in forest management. In: Pukkala T. (Ed). Multi-objective Forest Planning 5 (2002), Kluwer Academic Publishers, Managing Forest Ecosystems 99-118
39. Laukkanen S., Kangas A., and Kangas J. Applying voting theory in natural recource management: a case of multiple-criteria group decision support. J. Environ. Manage. 64 (2002) 127-137
40. Laukkanen S., Palander T., and Kangas J. Applying voting theory in participatory decision support for sustainable timber harvesting. Can. J. Forest Res. 34 (2004) 1511-1524
41. Ligtenberg A., Wacjowicz M., Bregt A.K., Beulens A., and Kettenis D.L. A design and application of a multi-agent system for simulation of multi-actor spatial planning. J. Environ. Manage. 72 (2004) 43-55
42. MacKay D.B., Bowen W.M., and Zinnes J.L. A Thurstonian view of the analytic hierarchy process. Eur. J. Operational Res. 89 (1996) 427-444
43. Malczewski J. GIS and Multicriteria Decision Analysis (1999), John Wiley and Sons 392 pp
44. Malczewski J., Moreno-Sanchez R., Bojórquez-Tapia L.A., and Ongay-Delhumeau E. Multicriteria group decision-making model for environmental conflict analysis in the Cape Region, Mexico. J. Environ. Plann. Manage. 40/3 (1997) 349-374
45. Martin W.E., Shields D.J., Tolwinski B., and Kent B. An application of Social Choice Theory to USDA Forest Service Decision Making. J. Pol. Model. 18/6 (1996) 603-621
46. McDaniels T.L., and Roessler C. Multiattribute elicitation of wilderness preservation benefits: a constructive approach. Ecol. Econ. 27 (1998) 299-312
47. McDill M.E., and Braze J. Comparing adjacency constraint formulations for randomly generated forest planning problems with four age-class distributions. Forest Sci. 46/3 (2000) 423-436
48. McDill M.E., Rebain S.A., and Braze J. Harvest scheduling with area-based adjacency constraints. Forest Sci. 48/4 (2002) 631-642
49. Mendoza G.A., and Prabhu R. Multiple criteria decision making approaches to assessing forest sustainability using criteria and indicators: a case study. Forest Ecol. Manage. 131 (2000) 107-126
50. Mendoza, G.A., Prabhu, R., 2002. Enhancing participatory planning of community-managed forests using problem structuring models and approaches: experiences from a case study. Working paper GAM-2003-1. Dep. Natur. Resour. Environ. Sci., University of Illinois, Champaign.
51. Murray A.T., and Church R.L. Analyzing cliques for imposing adjacency restrictions in forest models. Forest Sci. 42/2 (1996) 166-175
52. Özesmi U., and Özesmi S.L. Ecological models based on people's knowledge: a multi-step fuzzy cognitive mapping approach. Ecol. Model. 176 (2004) 43-64
53. Palma dos Reis A. Sistemas de Decisão (1999), Universidade Aberta, Lisboa 146
54. Phua M.-H., and Minowa M. A GIS-based multi-criteria decision making approach to forest conservation planning at a landscape scale: a case study in the Kinabalu Area, Sabah, Malaysia. Landscape Urban Plann. 71 (2005) 207-222
55. In: Pukkala T. (Ed). Multi-Objective Forest Planning (2002), Kluwer Academic Publishers, London
56. Pukkala, T., 2004. Dealing with ecological objectives in the Monsu Planning System. Silva Lusitana N° Especial: 1-16.
57. Purnomo H., Mendoza G.A., and Prabhu R. Model for collaborative planning or community-managed resources based on qualitative soft systems approach. J. Trop. Forest Sci. 16/1 (2004) 106-131
58. Purnomo H., Mendoza G.A., Prabhu R., and Yasmi Y. Developing multi-stakeholder forest management scenarios: a multi-agent system simulation approach applied in Indonesia. Forest Pol. Econ. 7 (2005) 475-491
59. Rauscher H.M. Ecosystem management decision support for federal forest in the United States: a review. Forest Ecol. Manage. 114 (1999) 173-197
60. Rebain S., and McDill M.E. A mixed-integer formulation of the minimum patch size problem. Forest Sci. 49 (2003) 608-618
61. Reichert P., Borsuk M., Hostmann M., Schweizer S., Spörri C., Tockner K., and Truffer B. Concepts of decision support for river rehabilitation. Environ. Model. Software 22/2 (2007) 188-201
62. Reynolds K.M. EMDS: Using a Logic Framework to Assess Forest Ecosystem Sustainability. J. Forestry 99/6 (2001) 26-30
63. Reynolds K.M., Jensen M., Andreasen J., and Goodman I. Knowledge-based assessment of watershed condition. Computers Electronics Agric. 27 (2000) 315-313
64. Reynolds K.M., Borges J.G., Vacik H., and Lexer M.J. Information and communication technology in forest management and conservation. In: Hetemäki L., and Nilsson S. (Eds). Information Technology and the Forest Sector. IUFRO World Series 18 (2005), International Union of Forest Research Organizations, Vienna, Austria 150-171
65. Romero C., and Rehman T. Natural resources management and the use of multiple-criteria decision making techniques: A review. Eur. Rev. Agric. Econ. 14/1 (1987) 6-89
66. Rose D.W., McDill M., and Hoganson H.M. Development of an environmental impact statement of statewide forestry programs: a Minnesota case study. Compiler 10/4 (1992) 18-27
67. In: Rosenhead J., and Mingers J. (Eds). Rational analysis for a problematic world revisited. Problem structuring methods for complexity, uncertainty and conflict. second ed. (2002), John Wiley and Sons, New York 366
68. In: Schmoldt D.L., Kangas J., Mendoza G.A., and Pesonen M. (Eds). The Analytic Hierarchy Process in Natural Resources and Environmental Decision Making (2001), Kluwer Academic Publishers, The Netherlands
69. Sheppard S.R.J., and Meitner M. Using multi-criteria analysis and visualisation for sustainable forest management planning with stakeholder groups. Forest Ecol. Manage. 207 (2005) 171-187
70. Snyder S., and ReVelle C. Dynamic selection of harvests with adjacency restrictions: the SHARE model. Forest Sci. 43/2 (1997) 213-222
71. Thomson A.J. Elicitation and representation of traditional ecological knowledge, for use in forest management. Computers Electronics Agric. 27 (2000) 155-165
72. Vacik H., and Lexer M.J. Application of a spatial decision support system in managing the protection forests of Vienna for sustained yield of water resources. Forest Ecol. Manage. 143/1-3 (2001) 65-76
73. Wang S., and Archer N.P. A neural network technique in modeling multiple criteria multiple person decision making. Computers Operations Res. 21/2 (1994) 127-142
74. Wilson J.S., and McGaughey R.J. Presenting landscape-scale forest information: what is sufficient and what is appropriate?. J. Forestry 98 (2000) 21-27
75. Wolstenholme E.F. Qualitative vs. quantitative modelling: the evolving balance. J. Operational Res. Soc. 50 (1999) 422-428
76. Zadeh L.A. Fuzzy sets. Inf. Control 8 (1965) 338-353